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» Estimating Markov Random Field Potentials for Natural Images
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CIKM
2008
Springer
15 years 2 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
153
Voted
CRV
2009
IEEE
237views Robotics» more  CRV 2009»
15 years 7 months ago
SEC: Stochastic Ensemble Consensus Approach to Unsupervised SAR Sea-Ice Segmentation
The use of synthetic aperture radar (SAR) has become an integral part of sea-ice monitoring and analysis in the polar regions. An important task in sea-ice analysis is to segment ...
Alexander Wong, David A. Clausi, Paul W. Fieguth
116
Voted
ICCV
2007
IEEE
16 years 2 months ago
Learning 3-D Scene Structure from a Single Still Image
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
Ashutosh Saxena, Min Sun, Andrew Y. Ng
GIS
2008
ACM
16 years 1 months ago
Integrating gazetteers and remote sensed imagery
This work explores the potential for increased synergy between gazetteers and high-resolution remote sensed imagery. These two data sources are complementary. Gazetteers provide h...
Shawn Newsam, Yi Yang
ACTA
2006
104views more  ACTA 2006»
15 years 12 days ago
Safe projections of binary data sets
Abstract Selectivity estimation of a boolean query based on frequent itemsets can be solved by describing the problem by a linear program. However, the number of variables in the e...
Nikolaj Tatti